.png){kind=icon}
返回
Double-layer model predictive control integrated with zone control
.png){kind=icon}
PRE
AI
DOI：10.1016/j.isatra.2020.12.056.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper proposed a double-layer model predictive control (DLMPC) strategy integrated with zone control. In the steady-state target calculation (SSTC) layer, the controlled output variables are pretreated based on the analysis of process principle and production data. Subsequently, the optimal input-output targets and corresponding zone parameters are obtained by solving the steady-state optimization problem and transmitted to the dynamic control layer for tracking. Meanwhile, the weighted and priority soft constraints relaxation methods are discussed when the SSTC problem is infeasible. Compared with conventional DLMPC and zone model predictive control (ZMPC), the proposed algorithm can not only achieve smooth control, but also have better robustness and economic performance. Finally, a simulation example is taken to show the effectiveness of the proposed method. (C) 2021 ISA. Published by Elsevier Ltd. All rights reserved.
Keyword:
Double-layer model predictive control
Zone control
Priority strategy
Control performance analysis
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.5
论文数:
6.1K
被引数:
2.0W
机构
引用论文
Integrating real-time optimization into the model predictive controller of the FCC system将实时优化集成到FCC系统的模型预测控制器中
PREAI
分享收藏A steady-state target calculation method based on point model for integrating processes.png)
ISA TRANSACTIONS
ISA TRANSACTIONSIF6.5
PREAI
分享收藏
Model predictive control for systems with fast dynamics using inverse neural models使用逆神经模型对具有快速动力学的系统进行模型预测控制ISA TRANSACTIONS
ISA TRANSACTIONSIF6.5
PREAI
分享收藏
查看更多内容